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Relative risk is a statistical term used to describe the chances of a certain event occurring among one group versus another. It is commonly used in epidemiology and evidence-based medicine, where relative risk helps identify the probability of developing a disease after an exposure (e.g., a drug treatment or an environmental event) versus the chance of developing the disease in the absence of that exposure. This article will demonstrate how to calculate relative risk.

Steps

1

Draw a 2x2 table. A 2x2 table is the basis for many epidemiological calculations.

Before you can draw a 2x2 table yourself, you must understand the variables:

A = The number of people who both had the exposure and developed the disease

B = The number of people who had the exposure but did not develop the disease

C = The number of people who did not have the exposure but did develop the disease

D = The number of people who neither had the exposure nor developed the disease

Let's do an example 2x2 table.

A study looks at 100 smokers and 100 non-smokers, and follows them for development of lung cancer.

Right away, we can fill in part of the table. The disease is lung cancer, the exposure is smoking, the total numbers of each group is 100, and the total of all the people in the study is 200.

At the end of the study, they found that 30 of the smokers and 10 of the non-smokers developed lung cancer. Now we can fill in the rest of the table.

Since A = the number of people exposed who got the disease (i.e. smokers who got lung cancer), we know this is 30. We can calculate B simply by subtracting A from the total: 100 - 30 = 70. Similarly, C is the number of non-smokers who got lung cancer, which we know is 10, and D = 100 - 10 = 90.

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Tips

Study designs such as cohort studies and clinical trials allow the researcher to calculate incidence, whereas case-control studies do not. Thus, relative risk can be calculated for cohort studies and clinical trials, but not for case-control studies. Odds ratios can be used to estimate relative risk for a case-control study.